What it is about
You will learn the fundamentals and current research on distributed learning (centralized, federated, decentralized) with a focus on data privacy, robustness against malicious clients, and reduction of communication costs. In the end you will be able to analyze, implement yourself, and critically evaluate algorithms for privacy, robustness, and communication efficiency.